#MLops
Live, measured metrics for the hashtag #MLops from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #mlops
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-09-09 02:30 UTC5 uses by 5 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-09-09 02:30 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-09 02:30 UTCEverything below is measured over the latest 40 public posts (spanning ~981 hours).
Posting hours (UTC) — busiest: 09:00
Languages: English (23) · Russian (15) · Japanese (1) · Portuguese (1)
Avg boosts / post: 0.5
Top of the latest posts
I have setup the full Grafana stack: Grafana, Loki, Prometheus, Tempo on the Pi before building anything else on top of it. Right now: ~1% CPU, under 50°C, clean idle baseline. Genuinely curious what others use here for hardware monitoring,
Как проверить ML‑модель перед продом и избежать утечки данных в scikit‑learn Высокая метрика на кросс‑валидации ещё не означает, что модель покажет такой же результат после запуска. Разрыв между офлайном и продакшеном часто появляется из‑за
Industrial MLOps spans trust zones, remote sites, OT networks, local runtimes, and MLSecOps controls. Here’s why it differs from conventional MLOps. https://hackernoon.com/industrial-mlops-as-a-distributed-operating-model #mlops
#mlops across platforms
every network with a public tag surfaceFollow #mlops straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/mlops